{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e1d71f80-5168-4681-a4ca-d71b4b315dfe",
   "metadata": {
    "tags": []
   },
   "source": [
    "# RFSoC-PYNQ Multi-Tile Sync Acquisition Design\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b33d086-5d4a-430e-9361-1fc7a4647c1d",
   "metadata": {},
   "source": [
    "This overlay demonstrates Multi-Tile Synchronization (MTS) on the RFSoC4x2 board.\n",
    "<p align=\"center\">\n",
    "  <img src=\"https://www.realdigital.org/img/b228828ef9555df47b6dc0bca8e38f90.png\" width=\"28%\" />\n",
    "</p>\n",
    "\n",
    "## Board Silkscreen Mappings: \n",
    "* DAC A -> DAC Tile 230 Channel 0\n",
    "* DAC B -> DAC Tile 228 Channel 0\n",
    "* ADC A -> ADC Tile 226 Channel 0\n",
    "* ADC B -> ADC Tile 226 Channel 1\n",
    "* ADC C -> ADC Tile 224 Channel 0\n",
    "* ADC D -> ADC Tile 224 Channel 1\n",
    "\n",
    "## Design Overview\n",
    "This overlay uses one DAC waveform generator that is broadcast to multiple RF DAC tiles.  Samples entering at SMA ports labeled ADC B and D are captured to internal memories storing 64 kilo-samples.  ADC A is stored to the PL DRAM allowing for a greater number of samples.  A simplified block diagram is presented below.\n",
    "<p align=\"center\">\n",
    "  <img src=\"./images/Overlay_simplifiedBlockDiagram.png\" width=\"30%\" />\n",
    "</p>\n",
    "<div class=\"alert alert-block alert-danger\">Because of the clocking strategy used in this overlay it is best run after first power-cycling your board.</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a44f63a8-94b2-449f-b3b5-07613adf0608",
   "metadata": {},
   "outputs": [],
   "source": [
    "from rfsoc_mts import mtsOverlay\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fa3b73dd-c42c-405c-9ded-6a27c7605684",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "try {\n",
       "require(['notebook/js/codecell'], function(codecell) {\n",
       "  codecell.CodeCell.options_default.highlight_modes[\n",
       "      'magic_text/x-csrc'] = {'reg':[/^%%microblaze/]};\n",
       "  Jupyter.notebook.events.one('kernel_ready.Kernel', function(){\n",
       "      Jupyter.notebook.get_cells().map(function(cell){\n",
       "          if (cell.cell_type == 'code'){ cell.auto_highlight(); } }) ;\n",
       "  });\n",
       "});\n",
       "} catch (e) {};\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "try {\n",
       "require(['notebook/js/codecell'], function(codecell) {\n",
       "  codecell.CodeCell.options_default.highlight_modes[\n",
       "      'magic_text/x-csrc'] = {'reg':[/^%%pybind11/]};\n",
       "  Jupyter.notebook.events.one('kernel_ready.Kernel', function(){\n",
       "      Jupyter.notebook.get_cells().map(function(cell){\n",
       "          if (cell.cell_type == 'code'){ cell.auto_highlight(); } }) ;\n",
       "  });\n",
       "});\n",
       "} catch (e) {};\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ol = mtsOverlay('mts.bit')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee0ce9c1-2ce9-4dc9-ae79-c2f3afba7028",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Generate Waveforms for Loopback\n",
    " This overlay uses a single waveform memory that is broadcast to multiple DAC tiles.\n",
    "### Prepare the DAC Memory\n",
    "The cell below generates examples waveforms and has customizable paramters.  For example, one can adjust the center frequency, Fc, and re-generate a sinewave."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3137871a-3b6c-4ec2-88ed-27f872439b04",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.signal import chirp\n",
    "from scipy.signal import sawtooth\n",
    "from scipy.signal import gausspulse\n",
    "\n",
    "DAC_SR = 4.0E9  # Sample rate of DACs and ADCs is 4.0 GHz\n",
    "ADC_SR = 4.0E9\n",
    "Fc = 250.0E6 # Set center frequency of waveform to 250.0 MHz\n",
    "Fe = 500.0E6 # maximum frequency of chirp at end of record\n",
    "DAC_Amplitude = 16383.0  # 14bit DAC +16383/-16384\n",
    "X_axis = (1/DAC_SR) * np.arange(0,ol.dac_player.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ddb191ed-a05c-42ff-ac0a-ce9a4f9dd129",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# generate some basic waveforms\n",
    "DAC_sinewave = DAC_Amplitude * np.sin(2*np.pi*Fc*X_axis)\n",
    "DAC_sawtooth = DAC_Amplitude * sawtooth(2 * np.pi * Fc * X_axis)\n",
    "DAC_chirp = DAC_Amplitude * chirp(np.arange(0, ol.dac_player.shape[0])/DAC_SR,\n",
    "                                  f0=Fc, f1=Fe, t1=(ol.dac_player.shape[0]/DAC_SR), \n",
    "                                  phi=0.0, method='linear')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "da3bb8fa-756e-4984-9393-74cac93dc230",
   "metadata": {},
   "outputs": [],
   "source": [
    "ol.dac_player[:] = np.int16(DAC_sinewave)\n",
    "#ol.dac_player[:] = np.int16(DAC_sawtooth)\n",
    "#ol.dac_player[:] = np.int16(DAC_chirp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46371e35-b78e-42f6-82c7-7eb1cbded631",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e87666f-b61b-4711-9976-bca1e7545701",
   "metadata": {},
   "source": [
    "## Capture DAC Waveform to Internal Memory\n",
    "The DAC waveform is saved to an internal memory for verification purposes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ab6a555e-f1d4-456e-a646-67bf952a4ea5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pNumSamples = 256\n",
    "pS = 0\n",
    "\n",
    "ol.trigger_capture()\n",
    "plt.title('DAC Waveform Replay ')\n",
    "plt.xlabel('sample')         \n",
    "plt.ylabel('Amplitude')\n",
    "plt.plot(ol.dac_capture[pS:pNumSamples])\n",
    "plt.show()\n",
    "# Note that the waveform is NOT aligned to sample zero of the DACRAM as it is free-running"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "820a5691-4a70-4e90-9d81-7b8c85aa33e4",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c2cc968-80c8-4d4e-bf16-f2b31eb4554a",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Non-Aligned ADC Capture and Analysis\n",
    "Without MTS enabled, the DAC output and ADC samples captured may not be phase-aligned.  For this experiment, wire your RFSoC4x2 as shown in the figure below.\n",
    "<p align=\"center\">\n",
    "  <img src=\"./images/SMAwiring_differentTiles.JPG\" width=\"50%\" />\n",
    "</p>\n",
    "In this wiring configuration, DAC_A is connected to ADC_B (red) and DAC_B is connected to ADC_D (blue).  DAC channels A and B are driven by different tiles (0 and 2,note 1 is unused).  ADC channels C and D are captured by Tile 0, but ADC channels A and B by Tile 2.  MTS is necessary to generate and capture phase aligned samples.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "92bb4581-fb95-454a-9426-d5a972a71ffc",
   "metadata": {},
   "outputs": [],
   "source": [
    "ol.init_tile_sync()\n",
    "nonAlignedCaptureSamples = np.zeros((3,len(ol.adc_capture_chA)),dtype=np.int16)\n",
    "ol.verify_clock_tree()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "30eeffb5-3fb4-40f5-adec-78fcf3d34586",
   "metadata": {},
   "outputs": [],
   "source": [
    "ol.internal_capture(nonAlignedCaptureSamples)\n",
    "nonAlignedCaptureSamples[0][:]=-nonAlignedCaptureSamples[0][:]  # correct for the RFSoC4x2 polarity swap of Tile224 ch0 ADC_D\n",
    "# tile 226 ch0,ch1 labeled ADC_B, ADC_A are fine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3df6316e-f1b8-448b-af1e-18bd69f01edd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p_start = 0\n",
    "p_num_samples = 128\n",
    "\n",
    "fig, axes = plt.subplots(nrows=1, ncols=1)\n",
    "axes.stem(nonAlignedCaptureSamples[0][p_start:p_start+p_num_samples])\n",
    "axes.stem(nonAlignedCaptureSamples[2][p_start:p_start+p_num_samples], linefmt='r:', markerfmt='rx')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "fig, axes = plt.subplots(nrows=2, ncols=1)\n",
    "axes[0].plot(nonAlignedCaptureSamples[0][p_start:p_start+p_num_samples])\n",
    "axes[1].plot(nonAlignedCaptureSamples[2][p_start:p_start+p_num_samples])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "250b4418-1313-49f5-9ccc-e1f4113336a9",
   "metadata": {},
   "source": [
    "# Analysis of the Non-Aligned Captured Waveforms\n",
    "DAC channels A and B are from different tiles but driven by a common waveform memory just programmed in the cells above.  The outputs should likely appear out of phase with respect to one another despite being captured by the same ADC tile. Even though these two channels are captured with the same ADC tile sometimes they require further alignment via MTS. Performing MTS only on the DAC tiles would correct this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "89337efc-1433-4480-9aed-16ff406815c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p_start = 0\n",
    "p_num_samples = 32\n",
    "plt.plot(nonAlignedCaptureSamples[0][p_start:(p_start+p_num_samples)])\n",
    "plt.plot(nonAlignedCaptureSamples[2][p_start:(p_start+p_num_samples)])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31dcabaf-9136-4f9a-98b1-d9e164f88835",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "469612f2-0df0-445e-8e4b-74df37067227",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Enable Multi-Tile Synchronization - MTS\n",
    "With Multi-Tile Synchronization enabled, the DAC outputs and ADC samples are aligned.  This feature of the RFSOC allows coherency across DAC and ADC tiles.  The RF tiles are reset and their internal FIFOs reset via \"init_tile_sync\" while also testing if the synthesizer clocks are ready.  Once initialized, the \"sync_tiles\" function begins the synchronization procedure of the tiles. The results are analyzed below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e6ad75bd-938d-4051-ab2c-1f2c6fb58525",
   "metadata": {},
   "outputs": [],
   "source": [
    "ol.init_tile_sync()\n",
    "ol.verify_clock_tree()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b0e140ba-3aa9-4fb6-a604-ec2d69840157",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ol.sync_tiles()\n",
    "AlignedCaptureSamples = np.zeros((3,len(ol.adc_capture_chA)),dtype=np.int16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9ab237c5-8489-419d-aba4-e5914e910da5",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ol.internal_capture(AlignedCaptureSamples)\n",
    "AlignedCaptureSamples[0][:]=-AlignedCaptureSamples[0][:]  # correct for the RFSoC4x2 polarity swap of Tile224 ch0 ADC_D\n",
    "# tile 226 ch0,ch1 labeled ADC_B, ADC_A are fine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "70c58af6-c052-4048-8d29-dad48ad1d227",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p_start = 0\n",
    "p_num_samples = 128\n",
    "\n",
    "fig, axes = plt.subplots(nrows=1, ncols=1)\n",
    "axes.stem(AlignedCaptureSamples[0][p_start:p_start+p_num_samples])\n",
    "axes.stem(AlignedCaptureSamples[2][p_start:p_start+p_num_samples], linefmt='r:', markerfmt='rx')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "fig, axes = plt.subplots(nrows=2, ncols=1)\n",
    "axes[0].plot(AlignedCaptureSamples[0][p_start:p_start+p_num_samples])\n",
    "axes[1].plot(AlignedCaptureSamples[2][p_start:p_start+p_num_samples])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2027b293-53fd-4af7-9dc3-48215c0bb8e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p_start = 0\n",
    "p_num_samples = 16\n",
    "plt.plot(AlignedCaptureSamples[0][p_start:(p_start+p_num_samples)])\n",
    "plt.plot(AlignedCaptureSamples[2][p_start:(p_start+p_num_samples)])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b872914e-e3d7-45c9-8ed6-2113b899836d",
   "metadata": {},
   "source": [
    "## Latency Incurred Due To Alignment\n",
    "Enabling MTS adds additional latency in the received sample datapath.  Due to the alignment process one or more streams will be delayed N number of samples and that is reported below in the \"Latency Reporting\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ef6c8439-6ef0-4a05-a320-134550ef36b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latency DAC Tile 0: 120\n",
      "Latency DAC Tile 2: 120\n",
      "Latency ADC Tile 0: 88\n",
      "Latency ADC Tile 2: 88\n"
     ]
    }
   ],
   "source": [
    "MAX_ADC_TILES = 4\n",
    "MAX_DAC_TILES = 4\n",
    "\n",
    "for n, is_active in enumerate(bin(ol.ACTIVE_ADC_TILES)[-MAX_ADC_TILES:][::-1]):\n",
    "    if is_active == '1':\n",
    "        print(f\"Latency DAC Tile {n}: {ol.xrfdc.mts_dac_config.Latency[n]}\")\n",
    "\n",
    "for n, is_active in enumerate(bin(ol.ACTIVE_DAC_TILES)[-MAX_DAC_TILES:][::-1]):\n",
    "    if is_active == '1':\n",
    "        print(f\"Latency ADC Tile {n}: {ol.xrfdc.mts_adc_config.Latency[n]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b71253e-d04a-4acb-90e2-56986b6b1456",
   "metadata": {},
   "source": [
    "## Verify Alignment Stability\n",
    "Perform the correlation of the two non-adjacent channels and verify the sinewaves are in alignment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f4ed9b0e-c350-4f1e-9088-8852a5bd5984",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MTS Successful\n"
     ]
    }
   ],
   "source": [
    "from scipy import signal\n",
    "\n",
    "iterations = 16\n",
    "for i in range(iterations):\n",
    "    ol.internal_capture(AlignedCaptureSamples)\n",
    "    N = len(AlignedCaptureSamples[0])  # choose power of two for efficiency\n",
    "    Tile0 = -AlignedCaptureSamples[0][:N]/2**15\n",
    "    TileN = AlignedCaptureSamples[2][:N]/2**15\n",
    "    x_corr = signal.fftconvolve(TileN, Tile0[::-1], mode='full')  # compute the cross corrleation of non-adjacent channels\n",
    "    lag0 = np.argmax(x_corr)\n",
    "    failed = False\n",
    "    if (lag0 != (N-1)):\n",
    "        failed = True\n",
    "        print(\"Failed at \", i, \" : MTS Alignment is not stable - please power-cycle board and verify board connections...\")\n",
    "        pStart = 0\n",
    "        pNumSamples = 16\n",
    "        plt.plot(AlignedCaptureSamples[0][pStart:(pStart+pNumSamples)])\n",
    "        plt.plot(AlignedCaptureSamples[2][pStart:(pStart+pNumSamples)])\n",
    "        plt.show()\n",
    "        break\n",
    "if not failed :\n",
    "    print(\"MTS Successful\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0968d835-f6ba-4b88-9e42-b66706216698",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90f545ea-c675-4b90-a630-dc95e3beb8ae",
   "metadata": {},
   "source": [
    "# Deep Capture to PL DDR4 Memory\n",
    "The RFSoC4x2 has an additional DRAM exclusively for the PL.  Specifically, this overlay stores \"ADC A\" samples that are captured at ADC Tile 226 - channel 1 samples. Our overlay limits a DMA descriptor to a maximum length of 24bit or 16MB.\n",
    "\n",
    "To capture to the PL-DRAM disconnect ADC_B and connect to ADC_A.  Your wiring should make the figure below.  You may leave ADC_D connected or remove it as it is not used in these cells.\n",
    "<p align=\"center\">\n",
    "  <img src=\"./images/SMAwiring_deepcapture.JPG\" width=\"50%\" />\n",
    "</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "daeba799-d00d-4fc9-be4a-988d6c27c3df",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pynq import allocate\n",
    "numSamplesPerDMA = (8 << 20) # 8MSamples = 16MB\n",
    "dbuf = allocate(numSamplesPerDMA, dtype=np.int16, target=ol.ddr4_0)\n",
    "assert (dbuf.physical_address == ol.ddr4_0.base_address), \"Buffer was not allocated to the expected PL-DRAM!\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7c702833-a631-479c-8bd2-be69b6d3fd96",
   "metadata": {},
   "outputs": [],
   "source": [
    "ol.dram_capture(dbuf)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2173e5b4-596c-43be-8786-be6a7939f922",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Plot Captured ADC Samples from PL DRAM\n",
    "The DMA interface captures 2MB worth of sample data and saved it into PL DRAM.  Each sample is 2 bytes each (int16) and we have allocated one mega-sample."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6d2b8c67-980f-46fc-9d04-533b85144733",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pStart = 32 * (1<<10); # start 32k samples into the buffer\n",
    "pNumSamples = 256\n",
    "plt.plot(ol.ADCdeepcapture[pStart:(pStart+pNumSamples)])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "78364503-996b-4657-9ac1-e180b495366c",
   "metadata": {},
   "outputs": [],
   "source": [
    "dbuf.freebuffer() # reclaim memory\n",
    "del dbuf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2b14363-b6ef-4f7e-9ab3-686e1ad4779a",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Verify Waveform Properties Match Expectations\n",
    "\n",
    "If the DAC waveform was a sinewave, verify the captured ADC waveform is sinusoidal.  If a chirp, verify linear frequency ramping of the captured signal or plot the magnitude of the FFT.  Return to earlier cells and try different waveform generation functions and observe the captured ADC samples to the deep memory.  The DMA interface is limited to a maximum of 64MB per descriptor, so it is not feasible to attempt writing the entire DRAM.  One can modify the cells above to target different regions of the DRAM and deposit more sample sets for analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6477a74b-5a88-4293-ad68-62459036bd81",
   "metadata": {},
   "source": [
    "---\n",
    "Copyright (C) 2023 Advanced Micro Devices, Inc\n",
    "SPDX-License-Identifier: MIT\n",
    "---"
   ]
  }
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